2440 search results - page 8 / 488 » Explanation-Based Feature Construction |
PAKDD
2009
ACM
14 years 2 months ago
2009
ACM
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
Image processing and recognition technologies are becoming increasingly important. Automatic construction methods for image transformation algorithms proposed to date approximate a...
PPSN
1990
Springer
13 years 11 months ago
1990
Springer
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
PAA
2007
13 years 6 months ago
2007
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...